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Real-Time Semantic Segmentation

22 papers with code · Computer Vision

Real-time semantic segmentation is the task of achieving computationally efficient semantic segmentation (while maintaining a base level of accuracy).

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Latest papers with code

LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation

7 May 2019EEEGUI/LEDNet-pytorch

The extensive computational burden limits the usage of CNNs in mobile devices for dense estimation tasks.

REAL-TIME SEMANTIC SEGMENTATION

1
07 May 2019

DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation

CVPR 2019 j-a-lin/DFANet_PyTorch

This paper introduces an extremely efficient CNN architecture named DFANet for semantic segmentation under resource constraints.

REAL-TIME SEMANTIC SEGMENTATION

0
03 Apr 2019

In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images

20 Mar 2019orsic/swiftnet

Recent success of semantic segmentation approaches on demanding road driving datasets has spurred interest in many related application fields.

REAL-TIME SEMANTIC SEGMENTATION

76
20 Mar 2019

Fast-SCNN: Fast Semantic Segmentation Network

12 Feb 2019reymondzzzz/fast_scnn

The encoder-decoder framework is state-of-the-art for offline semantic image segmentation.

REAL-TIME SEMANTIC SEGMENTATION

0
12 Feb 2019

Light-Weight RefineNet for Real-Time Semantic Segmentation

8 Oct 2018DrSleep/light-weight-refinenet

We consider an important task of effective and efficient semantic image segmentation.

REAL-TIME SEMANTIC SEGMENTATION

365
08 Oct 2018

Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation

17 Sep 2018shaoyuanlo/EDANet

Real-time semantic segmentation plays an important role in practical applications such as self-driving and robots.

REAL-TIME SEMANTIC SEGMENTATION

25
17 Sep 2018

Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations

13 Sep 2018DrSleep/multi-task-refinenet

Deployment of deep learning models in robotics as sensory information extractors can be a daunting task to handle, even using generic GPU cards.

DEPTH ESTIMATION REAL-TIME SEMANTIC SEGMENTATION SURFACE NORMALS ESTIMATION

50
13 Sep 2018
146
02 Aug 2018

The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks

CVPR 2018 bermanmaxim/LovaszSoftmax

The Jaccard index, also referred to as the intersection-over-union score, is commonly employed in the evaluation of image segmentation results given its perceptual qualities, scale invariance - which lends appropriate relevance to small objects, and appropriate counting of false negatives, in comparison to per-pixel losses.

REAL-TIME SEMANTIC SEGMENTATION

612
18 Jun 2018

ShuffleSeg: Real-time Semantic Segmentation Network

10 Mar 2018Davidnet/TFSegmentation

It is shown that skip architecture in the decoding method provides the best compromise for the goal of real-time performance, while it provides adequate accuracy by utilizing higher resolution feature maps for a more accurate segmentation.

REAL-TIME SEMANTIC SEGMENTATION

0
10 Mar 2018